{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n",
      "2022-07-23 15:02:22.373 [HKU-I] - Using SQLITE3 BaseInfoDriver (BaseInfoDriver.cpp:58)\n",
      "2022-07-23 15:02:22.374 [HKU-I] - Loading market information... (StockManager.cpp:497)\n",
      "2022-07-23 15:02:22.374 [HKU-I] - Loading stock type information... (StockManager.cpp:510)\n",
      "2022-07-23 15:02:22.374 [HKU-I] - Loading stock information... (StockManager.cpp:424)\n",
      "2022-07-23 15:02:22.419 [HKU-I] - Loading stock weight... (StockManager.cpp:527)\n",
      "2022-07-23 15:02:22.755 [HKU-I] - Loading KData... (StockManager.cpp:139)\n",
      "2022-07-23 15:02:22.757 [HKU-I] - Preloading all day kdata to buffer! (StockManager.cpp:162)\n",
      "2022-07-23 15:02:22.758 [HKU-I] - Preloading all week kdata to buffer! (StockManager.cpp:165)\n",
      "2022-07-23 15:02:22.758 [HKU-I] - Preloading all month kdata to buffer! (StockManager.cpp:168)\n",
      "2022-07-23 15:02:22.758 [HKU-W] - Current hdf5 library is not thread-safe! (H5KDataDriver.h:36)\n",
      "2022-07-23 15:02:37.774 [HKU-I] - 15.02s Loaded Data. (StockManager.cpp:150)\n",
      "Wall time: 15.9 s\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive import *\n",
    "iodog.open()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 一、策略分析\n",
    "\n",
    "## 原始描述\n",
    "\n",
    "买入条件：周线MACD零轴下方底部金叉买入30%\n",
    "\n",
    "卖出条件：日线级别 跌破 20日线 卖出50%持仓\n",
    "\n",
    "\n",
    "## 策略分析\n",
    "\n",
    "市场环境：无\n",
    "\n",
    "系统有效性：无\n",
    "\n",
    "信号指示器：\n",
    "- 买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入（快线：DIF，慢线DEA）\n",
    "- 卖出信号：日线级别 跌破 20日均线\n",
    "\n",
    "止损/止盈：无\n",
    "\n",
    "资金管理：\n",
    "- 买入：30% （不明确，暂且当做当前现金的30%）\n",
    "- 卖出：已持仓股票数的50%\n",
    "\n",
    "盈利目标：\n",
    "\n",
    "移滑价差：\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 二、实现系统部件\n",
    "\n",
    "## 定义信号指示器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNextWeekDate(week):\n",
    "    \"\"\"获取指定日期的下一周周一日期\"\"\"\n",
    "    from datetime import timedelta\n",
    "    py_week = week.datetime()\n",
    "    next_week_start = py_week + timedelta(days = 7 - py_week.weekday())\n",
    "    return Datetime(next_week_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DEMO_SG(self):\n",
    "    \"\"\"\n",
    "    买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入\n",
    "    卖出信号：日线级别 跌破 20日均线\n",
    "    \n",
    "    参数：\n",
    "    week_macd_n1：周线dif窗口\n",
    "    week_macd_n2: 周线dea窗口\n",
    "    week_macd_n3: 周线macd平滑窗口\n",
    "    day_n: 日均线窗口\n",
    "    \"\"\"\n",
    "    k = self.to\n",
    "    if (len(k) == 0):\n",
    "        return\n",
    "    \n",
    "    stk = k.get_stock()\n",
    "    \n",
    "    #-----------------------------\n",
    "    #计算日线级别的卖出信号        \n",
    "    #-----------------------------\n",
    "    day_c = CLOSE(k)\n",
    "    day_ma = MA(day_c, self.get_param(\"day_n\"))\n",
    "    day_x = day_c < day_ma  #收盘价小于均线\n",
    "    for i in range(day_x.discard, len(day_x)):\n",
    "        if day_x[i] >= 1.0:\n",
    "            self._add_sell_signal(k[i].datetime)\n",
    "\n",
    "    #-----------------------------\n",
    "    #计算周线级别的买入信号        \n",
    "    #-----------------------------\n",
    "    week_q = Query(k[0].datetime, k[-1].datetime.next_day(), ktype=Query.WEEK)\n",
    "    week_k = k.get_stock().get_kdata(week_q)\n",
    "    \n",
    "    n1 = self.get_param(\"week_macd_n1\")\n",
    "    n2 = self.get_param(\"week_macd_n2\")\n",
    "    n3 = self.get_param(\"week_macd_n3\")\n",
    "    m = MACD(CLOSE(week_k), n1, n2, n3)\n",
    "    fast = m.get_result(0)\n",
    "    slow = m.get_result(1)\n",
    "    \n",
    "    discard = m.discard if m.discard > 1 else 1\n",
    "    for i in range(discard, len(m)):\n",
    "        if (fast[i-1] < slow[i-1] and fast[i] > slow[i]):\n",
    "            #当周计算的结果，只能作为下周一的信号\n",
    "            self._add_buy_signal(week_k[i].datetime.next_week())\n",
    "         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义资金管理策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DEMO_MM(MoneyManagerBase):\n",
    "    \"\"\"\n",
    "    买入：30% （不明确，暂且当做当前现金的30%）\n",
    "    卖出：已持仓股票数的50%\n",
    "    \"\"\"\n",
    "    def __init__(self):\n",
    "        super(DEMO_MM, self).__init__(\"MACD_MM\")\n",
    "        \n",
    "    def _reset(self):\n",
    "        pass\n",
    "    \n",
    "    def _clone(self):\n",
    "        return DEMO_MM()\n",
    "        \n",
    "    def _get_buy_num(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.tm\n",
    "        cash = tm.current_cash\n",
    "        \n",
    "        #可以不用考虑最小交易单位的问题，已经自动处理\n",
    "        #num = int((cash * 0.3 // price // stk.atom) * stk.atom)\n",
    "        return int(cash*0.3/price) #返回类型必须是int\n",
    "    \n",
    "    def _get_sell_num(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.tm\n",
    "        position = tm.get_position(datetime, stk)\n",
    "        total_num = position.number\n",
    "        num = int(total_num * 0.5)\n",
    "        return num if num >= 100 else 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 三、构建并运行系统\n",
    "\n",
    "## 设定系统参数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#账户参数\n",
    "init_cash = 100000 #账户初始资金\n",
    "init_date = Datetime('1990-1-1') #账户建立日期\n",
    "\n",
    "#信号指示器参数\n",
    "week_n1 = 12\n",
    "week_n2 = 26\n",
    "week_n3 = 9\n",
    "day_n = 20\n",
    "\n",
    "#选定标的，及测试区间\n",
    "stk = sm['sz000001']\n",
    "start_date = Datetime('2017-01-01')  #如果是同一级别K线，可以使用索引号，使用了不同级别的K线数据，建议还是使用日期作为参数\n",
    "end_date = Datetime()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建系统实例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建账户\n",
    "my_tm = crtTM(date=init_date, init_cash = init_cash, cost_func=TC_FixedA())\n",
    "\n",
    "#创建系统实例\n",
    "my_sys = SYS_Simple()\n",
    "\n",
    "#绑定账户\n",
    "my_sys.tm = my_tm\n",
    "\n",
    "#绑定信号指示器\n",
    "my_sys.sg = crtSG(DEMO_SG, \n",
    "              {'week_macd_n1': week_n1, 'week_macd_n2': week_n2, 'week_macd_n3': week_n3, 'day_n': day_n}, \n",
    "                'DEMO_SG') \n",
    "my_sys.sg.set_param('alternate', False)\n",
    "\n",
    "#绑定资金管理策略\n",
    "my_sys.mm = DEMO_MM()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 运行系统"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "iodog.close()\n",
    "q = Query(start_date, end_date, ktype=Query.DAY)\n",
    "my_sys.run(stk, q)\n",
    "\n",
    "#将交易记录及持仓情况，保存在临时目录，可用Excel查看\n",
    "#临时目录一般设置在数据所在目录下的 tmp 子目录\n",
    "#如果打开了excel记录，再次运行系统前，记得先关闭excel文件，否则新的结果没法保存\n",
    "my_tm.tocsv(sm.tmpdir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、查看资金曲线及绩效统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制资金收益曲线（净收益）\n",
    "x = my_tm.get_profit_curve(stk.get_datetime_list(q), Query.DAY)\n",
    "#x = my_tm.getFundsCurve(stk.getDatetimeList(q), KQuery.DAY) #总资产曲线\n",
    "x = PRICELIST(x)\n",
    "x.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "帐户初始金额: 100000.00\n",
      "累计投入本金: 100000.00\n",
      "累计投入资产: 0.00\n",
      "累计借入现金: 0.00\n",
      "累计借入资产: 0.00\n",
      "累计红利: 135.92\n",
      "现金余额: 99518.98\n",
      "未平仓头寸净值: 1469.64\n",
      "当前总资产: 100988.62\n",
      "已平仓交易总成本: 0.00\n",
      "已平仓净利润总额: 0.00\n",
      "单笔交易最大占用现金比例%: 29.67\n",
      "交易平均占用现金比例%: 29.25\n",
      "已平仓帐户收益率%: 0.00\n",
      "帐户年复合收益率%: 0.19\n",
      "帐户平均年收益率%: 0.19\n",
      "赢利交易赢利总额: 0.00\n",
      "亏损交易亏损总额: 0.00\n",
      "已平仓交易总数: 0.00\n",
      "赢利交易数: 0.00\n",
      "亏损交易数: 0.00\n",
      "赢利交易比例%: 0.00\n",
      "赢利期望值: 0.00\n",
      "赢利交易平均赢利: 0.00\n",
      "亏损交易平均亏损: 0.00\n",
      "平均赢利/平均亏损比例: 0.00\n",
      "净赢利/亏损比例: 0.00\n",
      "最大单笔赢利: 0.00\n",
      "最大单笔亏损: 0.00\n",
      "赢利交易平均持仓时间: 0.00\n",
      "赢利交易最大持仓时间: 0.00\n",
      "亏损交易平均持仓时间: 0.00\n",
      "亏损交易最大持仓时间: 0.00\n",
      "空仓总时间: 1895.00\n",
      "空仓时间/总时间%: 100.00\n",
      "平均空仓时间: 1895.00\n",
      "最长空仓时间: 1894.00\n",
      "最大连续赢利笔数: 0.00\n",
      "最大连续亏损笔数: 0.00\n",
      "最大连续赢利金额: 0.00\n",
      "最大连续亏损金额: 0.00\n",
      "R乘数期望值: 0.00\n",
      "交易机会频率/年: 0.00\n",
      "年度期望R乘数: 0.00\n",
      "赢利交易平均R乘数: 0.00\n",
      "亏损交易平均R乘数: 0.00\n",
      "最大单笔赢利R乘数: 0.00\n",
      "最大单笔亏损R乘数: 0.00\n",
      "最大连续赢利R乘数: 0.00\n",
      "最大连续亏损R乘数: 0.00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#回测统计\n",
    "per = Performance()\n",
    "print(per.report(my_tm, Datetime.now()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、或许想看下图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_sys.plot()\n",
    "MA(CLOSE(my_sys.to), 20).plot(new=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、或许想看看所有股票的情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 9.83 s\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "def calTotal(blk, q):\n",
    "    per = Performance()\n",
    "    s_name = []\n",
    "    s_code = []\n",
    "    x = []\n",
    "    for stk in blk:\n",
    "        my_sys.run(stk, q)\n",
    "        per.statistics(my_tm, Datetime.now())\n",
    "        s_name.append(stk.name)\n",
    "        s_code.append(stk.market_code)\n",
    "        x.append(per[\"当前总资产\"])\n",
    "    return pd.DataFrame({'代码': s_code, '股票': s_name, '当前总资产': x})\n",
    "\n",
    "%time data = calTotal(blocka, q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>股票</th>\n",
       "      <th>当前总资产</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SH600770</td>\n",
       "      <td>综艺股份</td>\n",
       "      <td>99376.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SZ000532</td>\n",
       "      <td>华金资本</td>\n",
       "      <td>99580.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SZ300238</td>\n",
       "      <td>冠昊生物</td>\n",
       "      <td>99463.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH601777</td>\n",
       "      <td>力帆科技</td>\n",
       "      <td>104746.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SH600781</td>\n",
       "      <td>*ST辅仁</td>\n",
       "      <td>102766.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SH600671</td>\n",
       "      <td>ST目药</td>\n",
       "      <td>97877.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SZ002888</td>\n",
       "      <td>惠威科技</td>\n",
       "      <td>103167.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SH603599</td>\n",
       "      <td>广信股份</td>\n",
       "      <td>103034.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SH600086</td>\n",
       "      <td>*ST金钰</td>\n",
       "      <td>98187.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SH600363</td>\n",
       "      <td>联创光电</td>\n",
       "      <td>109174.65</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         代码     股票      当前总资产\n",
       "0  SH600770   综艺股份   99376.57\n",
       "1  SZ000532   华金资本   99580.14\n",
       "2  SZ300238   冠昊生物   99463.22\n",
       "3  SH601777   力帆科技  104746.45\n",
       "4  SH600781  *ST辅仁  102766.17\n",
       "5  SH600671   ST目药   97877.36\n",
       "6  SZ002888   惠威科技  103167.80\n",
       "7  SH603599   广信股份  103034.58\n",
       "8  SH600086  *ST金钰   98187.01\n",
       "9  SH600363   联创光电  109174.65"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#保存到CSV文件\n",
    "#data.to_csv(sm.tmpdir() + '/统计.csv')\n",
    "data[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Trade(+infinity, , , UNKNOWN, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, --)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iodog.close()\n",
    "my_tm.buy(Datetime(201906160000), sm['sz000001'], 10, 10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
